Literature DB >> 16486949

Are the structures of twist grain boundaries in silicon ordered at 0 K?

S von Alfthan1, P D Haynes, K Kaski, A P Sutton.   

Abstract

Contrary to previous simulation results on the existence of amorphous intergranular films at high-angle twist grain boundaries (GBs) in elemental solids such as silicon, recent experimental results imply structural order in some high-angle boundaries. With a novel protocol for simulating twist GBs, which allows the number of atoms at the boundary to vary, we have found new low-energy ordered structures. We give a detailed exposition of the results for the simplest boundary. The validity of our results is confirmed by first-principles calculations.

Entities:  

Year:  2006        PMID: 16486949     DOI: 10.1103/PhysRevLett.96.055505

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  6 in total

1.  Structural phase transformations in metallic grain boundaries.

Authors:  Timofey Frolov; David L Olmsted; Mark Asta; Yuri Mishin
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

2.  A genetic algorithm for predicting the structures of interfaces in multicomponent systems.

Authors:  Alvin L-S Chua; Nicole A Benedek; Lin Chen; Mike W Finnis; Adrian P Sutton
Journal:  Nat Mater       Date:  2010-02-28       Impact factor: 43.841

3.  Thermal conductivity and its relation to atomic structure for symmetrical tilt grain boundaries in silicon.

Authors:  J Hickman; Y Mishin
Journal:  Phys Rev Mater       Date:  2020       Impact factor: 3.989

4.  Energetics of vacancy segregation to [100] symmetric tilt grain boundaries in bcc tungsten.

Authors:  Nanjun Chen; Liang-Liang Niu; Ying Zhang; Xiaolin Shu; Hong-Bo Zhou; Shuo Jin; Guang Ran; Guang-Hong Lu; Fei Gao
Journal:  Sci Rep       Date:  2016-11-22       Impact factor: 4.379

5.  Direct insight into the structure-property relation of interfaces from constrained crystal structure prediction.

Authors:  Lin Sun; Miguel A L Marques; Silvana Botti
Journal:  Nat Commun       Date:  2021-02-05       Impact factor: 14.919

6.  Predicting phase behavior of grain boundaries with evolutionary search and machine learning.

Authors:  Qiang Zhu; Amit Samanta; Bingxi Li; Robert E Rudd; Timofey Frolov
Journal:  Nat Commun       Date:  2018-02-01       Impact factor: 14.919

  6 in total

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